New Tighter Upper Bounds for Mining High Average-Utility Itemsets.
Jimmy Ming-Tai WuJerry Chun-Wei LinMatin PirouzPhilippe Fournier-VigerPublished in: ICBDE (2018)
Keyphrases
- itemsets
- upper bound
- frequent itemsets
- lower bound
- high utility
- mining algorithm
- itemset mining
- association rule mining
- frequent itemset mining
- pattern mining
- association rules
- emerging patterns
- frequent pattern mining
- frequent patterns
- mining association rules
- frequent item sets
- lower and upper bounds
- transactional databases
- data structure
- high utility itemsets
- data mining algorithms
- data streams
- mining frequent itemsets
- interesting patterns
- minimum support
- transaction data
- algorithms for mining association rules
- closed patterns
- interesting association rules
- apriori algorithm
- mining high utility itemsets
- transaction databases
- anti monotone
- frequent closed itemsets
- traversal patterns
- sequential pattern mining algorithm
- association rule mining algorithm
- objective function
- mining frequent patterns
- closed itemsets
- pattern growth
- data mining techniques
- frequent sets
- rule mining
- data mining tasks
- pruning strategy
- sequential pattern mining